About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. We are seeking a Advisor, Scientific Digital Solutions to lead the delivery of user-interfacing front-end solutions for data query and analytics. This role entails seeking a deep understanding of the needs of BioTDR scientists and partnering with IT/Digital teams to deliver the right solutions. The right person will bring biologics domain expertise and cross-functional leadership, paired with sufficient fluency in scientific informatics and working exposure to AI/agentic tools to scope pilots and guide delivery.

Requirements

  • B.S., M.S., or PhD, in Biological Sciences, Chemistry, Computational Biology, Bioinformatics, or related field.
  • B.S (with 10+years), M.S(with 5+ years) or PhD (with 2+ years) in pharmaceutical or biotech R&D.
  • At least one year experience at the interface of scientific research and digital/IT delivery.

Nice To Haves

  • Proven experience in biologics domain (antibody engineering, SAR analysis, assay data interpretation) with a scientist-centric approach for designing intuitive, accessible tools.
  • Fluent communicator across scientific, engineering, and business functions; proven ability to translate scientist needs into actionable briefs for IT/Digital teams.
  • Demonstrated experience leading cross-functional teams through matrix structures with end-to-end program ownership.
  • Familiarity with scientific informatics platforms such as (LiveDesign, ENPICOM, D360, Genedata, Benchling, Dotmatics, or equivalent LIMS/ELN).
  • Working fluency in LLM and agentic AI frameworks (Claude API, MCP, LangChain) with the ability to distinguish scientific value from hype.
  • Track record defining KPI frameworks and implementing user adoption programs in a regulated R&D environment.
  • Business acumen to connect digital investment to scientific outcomes and communicate trade-offs clearly to stakeholders.

Responsibilities

  • Work closely with IT/Digital teams for design, development, and deployment of front-end data analysis solutions for BioTDR scientists.
  • Gather requirements and translate scientific needs into prioritized solution briefs for IT/Digital partners.
  • Define roadmaps, measurable deliverables, report progress to leadership.
  • Represent the team in cross-functional forums, vendor engagements, and BioTDR adoption efforts.
  • Identify and scope opportunities to embed LLM and agentic AI capabilities into scientific workflows.
  • Build lightweight proof-of-concepts and run structured pilots with scientist end users before full build commitment.
  • Contribute to build-vs-buy assessments, vendor evaluations, and technology roadmap planning.
  • Design and implement user adoption programs including onboarding, training, and feedback loops.
  • Drive improvement cycles using usage analytics and user feedback.

Benefits

  • Company bonus (depending, in part, on company and individual performance).
  • Company-sponsored 401(k).
  • Pension.
  • Vacation benefits.
  • Eligibility for medical, dental, vision and prescription drug benefits.
  • Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts).
  • Life insurance and death benefits.
  • Certain time off and leave of absence benefits.
  • Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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